Orfeas Kypris
Orfeas Kypris
Interests
My research interests lie in the areas of sensor networks for nondestructive evaluation, structural health monitoring, and precision agriculture, and I have expertise in the engineering aspects of magnetism and magnetic materials. I am currently working on the Structalyse and Mi6Sense projects where I am developing smart sensors for structural health monitoring. These sensors use low-frequency magnetic fields to communicate and measure relative distance to one another directly from within concrete, making it possible to interrogate the internal condition of a structure in real-time.
Biography
I'm a postdoctoral research associate in the Sensor Networks group at the Department of Computer Science at the University of Oxford. I previously obtained my Ph.D. at the Department of Electrical and Computer Engineering at Iowa State University , where I developed a method for the non-destructive evaluation of stress in ferromagnetic components using information contained in magnetic Barkhausen signals.
Current Projects:
Selected Publications
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RePWR: Wireless Power Transfer within Reinforced Concrete (in press)
Z Wang‚ O Kypris and A Markham
In Proc. ENSSys 2016. 2017.
Details about RePWR: Wireless Power Transfer within Reinforced Concrete (in press) | BibTeX data for RePWR: Wireless Power Transfer within Reinforced Concrete (in press)
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3−D Displacement Measurement for Structural Health Monitoring Using Low Frequency Magnetic Fields (in press)
O Kypris and A Markham
In IEEE Sensors. 2017.
Details about 3−D Displacement Measurement for Structural Health Monitoring Using Low Frequency Magnetic Fields (in press) | BibTeX data for 3−D Displacement Measurement for Structural Health Monitoring Using Low Frequency Magnetic Fields (in press)
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Magneto−inductive underground tracking: principles and systems
TE Abrudan‚ O Kypris‚ N Trigoni and AC Markham
In Liang Cheng and Sibel Pamukcu, editors, Underground Sensing: Monitoring and hazard detection for environment and infrastructure (in press). Chapter 8. Elsevier. 2017.
Details about Magneto−inductive underground tracking: principles and systems | BibTeX data for Magneto−inductive underground tracking: principles and systems